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Long term soil moisture mapping over the Tibetan plateau using Special Sensor Microwave/Imager

机译:使用特殊传感器微波/成像仪对藏高高原的长期土壤水分测绘

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This paper discusses soil moisture retrievals over the Tibetan Plateau from brightness temperature (iT/isubB/sub's) observed by the Special Sensor Microwave Imagers (SSM/I's) during the warm seasons of the period from July 1987 to December 2008. The Fundamental Climate Data Record (FCDR) of F08, F11 and F13 SSM/I satellites by the Precipitation Research Group of Colorado State University is used for this study. A soil moisture retrieval algorithm is developed based on a radiative transfer model that simulates top-of-atmosphere iT/isubB/sub's whereby effects of atmosphere are calculated from near-surface forcings obtained from a bias-corrected dataset. Validation of SSM/I retrievals against in situ measurements for a two-and-half year period (225 matchups) gives a Root Mean Squared Error of 0.046 msup3/sup msup?3/sup. The agreement between retrievals and Noah simulations from the Global Land Data Assimilation System is investigated to further provide confidence in the reliability of SSM/I retrievals at the Plateau-scale. brbr Normalised soil moisture anomalies (iN/i) are computed on a warm seasonal (May–October) and on a monthly basis to analyse the trends present within the products available from July 1987 to December 2008. The slope of linear regression functions between iN/i and time is used to quantify the trends. Both the warm season and monthly iN/i indicate severe wettings of 0.8 to almost 1.6 decadesup?1/sup in the centre of the Plateau. Correlations are found by the trend with elevation for the warm season as a whole and the individual months May, September and October. The observed wetting of the Tibetan Plateau agrees with recent findings on permafrost retreat, precipitation increase and potential evapotranspiration decline.
机译:本文讨论了由特殊传感器微波成像(SSM / I)观察到的亮度温度( T b )在温暖的季节观察到土壤水分检索从1987年7月到2008年12月的这一期间。科罗拉多州立大学降水研究组F08,F11和F13 SSM / I卫星的基本气候数据记录(FCDR)用于本研究。基于辐射转移模型开发了一种土壤湿度检索算法,该辐射转移模型模拟了大气层的含量 t b ,从获得的近表面强制计算大气的影响从偏置纠正的数据集。验证SSM / I检索的原位测量为两年半期间(225次匹配)给出0.046 m 3 m Δ3的根平均平方误差。研究了从全球土地数据同化系统的检索和诺亚模拟之间的协议,进一步为高原规模的SSM / I检索的可靠性提供了信心。 归一化土壤水分异常( n )在温暖的季节性(10月)和每月计算,以分析从1987年7月至12月的产品中提供的产品中的趋势2008. n 和时间之间的线性回归函数的斜率用于量化趋势。温暖的季节和每月每月 n 表示高原中心0.8至近1.6十年的严重润湿剂为0.8至近1.6个十年的 1 。趋势的相关趋势与暖季的趋势,整个温暖季节和5月,9月和10月的个月。观察到的藏高原的润湿同意最近关于多年冻土后退,降水量和潜在蒸发的结果。

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